Writes a Spark dataframe stream into a memory stream.
stream_write_memory(
x,
name = random_string("sparklyr_tmp_"),
mode = c("append", "complete", "update"),
trigger = stream_trigger_interval(),
checkpoint = file.path("checkpoints", name, random_string("")),
options = list(),
partition_by = NULL,
...
)A Spark DataFrame or dplyr operation
The name to assign to the newly generated stream.
Specifies how data is written to a streaming sink. Valid values are
"append", "complete" or "update".
The trigger for the stream query, defaults to micro-batches
running every 5 seconds. See stream_trigger_interval and
stream_trigger_continuous.
The location where the system will write all the checkpoint information to guarantee end-to-end fault-tolerance.
A list of strings with additional options.
Partitions the output by the given list of columns.
Optional arguments; currently unused.
Other Spark stream serialization:
stream_write_csv()